agentmods.dev

deep-dive

deep-dive is a skill for Claude Code from buddyh/agent-skills. It costs 81 tokens per session (3,175 once invoked), scanned A, original, MIT.

A research workflow for producing a long, source-based report about a broad topic. It breaks the topic into smaller questions, researches them in parallel, and combines the findings into one analysis.

In plain words
What is it for?
Use it for deep dives, comprehensive technology analyses, trend reports, landscape surveys, and other research requests that need many sources and several connected lines of inquiry.
Why use it?
It helps cover complex subjects systematically instead of relying on a few quick searches or an unsourced summary. The research depth is adjusted to the topic's breadth and maturity.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: names the AskUserQuestion tool.

not rated 5repo 3mo ago A scan 81 tokens original MIT

Good fit Use it for deep dives, comprehensive technology analyses, trend reports, landscape surveys, and other research requests that need many sources and several connected lines of inquiry.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/buddyh/agent-skills/deep-dive
View source ↗ buddyh/agent-skills
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add buddyh/agent-skills --skill deep-dive
Clone the repo
git clone --depth 1 https://github.com/buddyh/agent-skills

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for deep-dive

README.md
[![agentmods](https://agentmods.dev/badge/skills/buddyh/agent-skills/deep-dive/github.svg)](https://agentmods.dev/skills/buddyh/agent-skills/deep-dive)
Your own site
<a href="https://agentmods.dev/skills/buddyh/agent-skills/deep-dive"><img src="https://agentmods.dev/badge/skills/buddyh/agent-skills/deep-dive/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for deep-dive

Your own site · 80×15
<a href="https://agentmods.dev/skills/buddyh/agent-skills/deep-dive"><img src="https://agentmods.dev/badge/skills/buddyh/agent-skills/deep-dive.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 81 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,175 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00081 $0.03175
Opus 5.5 $0.00032 $0.01270
Sonnet 5.5 $0.00016 $0.00635
Haiku 4.5 $0.00008 $0.00317

Measured 2mo ago against content hash f443bbb27651, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

deep-dive scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

deep-dive/SKILL.md · 341 lines

How it starts

The opening of the file, as written. The whole thing — 341 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Deep Dive

Produce comprehensive research reports by decomposing topics into subtopics, researching each in parallel with exhaustive source gathering, and synthesizing into a single deeply-analyzed report.

Trigger

/deep-dive <topic> or when user asks for a deep dive, deep research, or comprehensive analysis of a topic.

Phase 1: Scope and Decompose (do this yourself, no agent)

1a: Assess Topic and Set Research Tier

Before decomposing, assess the topic to determine how much research it warrants:

Focused Standard Comprehensive
When Narrow comparison, specific technical question, well-defined scope Most topics -- technology analysis, trend report, landscape overview Broad survey, emerging field, multi-stakeholder analysis
Subtopics 5-7 7-9 9-12
Word target 4,000-6,000 6,000-8,000 8,000-10,000+
Source target 40-60 60-80 80-100+
Example "WebTransport vs WebSockets" "State of real-time web protocols in 2026" "Complete guide to building real-time infrastructure"

Choose the tier based on:

  • Breadth: How many distinct dimensions does the topic have?
  • Maturity: Established topics have more sources; emerging ones may max out at fewer
  • Comparison surface: Binary comparisons need fewer subtopics than landscape surveys
  • User signal: If user says "quick" or "focused", go Focused. If "comprehensive" or "exhaustive", go Comprehensive. Default to Standard.

1b: Interpret the Research Question

Determine:

  • Scope: Is this a comparison, a landscape survey, a how-to, a trend analysis, or an investigation?
  • Audience: Technical practitioners, executives, researchers, or general?
  • Depth signals: What would a domain expert want to know that a surface-level article would miss?

1c: Generate Subtopics

Generate subtopics according to the selected tier. Each subtopic should be:

  • Distinct (minimal overlap)
  • Specific enough to yield targeted search results
  • Substantial enough to produce 500-1500 words of findings (scale with tier)

Read the full file on GitHub · 341 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 341 lines · 81 tokens per session scan A f443bbb27651

Subscribe to this mod's changes

deep-dive is a skill published in the GitHub repository buddyh/agent-skills (5 stars, last pushed 3mo ago), licensed MIT. It adds 81 tokens to every session and 3,175 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Claude CodeResearchai-agentsclaudeskills
Related

deep-dive compared with skills from other repositories

deep-dive next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
deep-divebuddyh/agent-skillsSkill53mo agoMITA81Claude Code
claude-md-improveranthropics/claude-plugins-officialSkill46kyesterdayApache-2.0A82Claude Code
agent-platform-model-registrygoogle/skillsSkill23ktodayApache-2.0A60Claude Code, Codex
gke-reliabilitygoogle/skillsSkill23ktodayApache-2.0A85Claude Code, Codex
gke-workload-securitygoogle/skillsSkill23ktodayApache-2.0A171Claude Code, Codex
google-cloud-solution-agentic-analytics-spark-knowledge-cataloggoogle/skillsSkill23ktodayApache-2.0A132Claude Code, Codex
glance-canonical-layoutsandroid/skillsSkill10k2d agoApache-2.0A56Claude Code